Instructions to use WindstormLabs/translate-lua-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lua-sv with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-lua-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lua-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7a34052e55e930ff9823f9bb00fb1b108b64e9d2345f4055e3c9df5e7866d06
- Size of remote file:
- 77.1 MB
- SHA256:
- af5de56d8b6ebea7f4bda0a38e9b6b801d8deedfa4d28f0dd5be81c883b03e62
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